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---
license: apache-2.0
library_name: transformers
tags:
- code
- granite
- llama-cpp
- gguf-my-repo
datasets:
- codeparrot/github-code-clean
- bigcode/starcoderdata
- open-web-math/open-web-math
- math-ai/StackMathQA
metrics:
- code_eval
pipeline_tag: text-generation
inference: true
model-index:
- name: granite-34b-code-base
  results:
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 47.2
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: evalplus/mbppplus
    metrics:
    - type: pass@1
      value: 53.1
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis(Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 48.2
      name: pass@1
    - type: pass@1
      value: 54.9
      name: pass@1
    - type: pass@1
      value: 61.6
      name: pass@1
    - type: pass@1
      value: 40.2
      name: pass@1
    - type: pass@1
      value: 50.0
      name: pass@1
    - type: pass@1
      value: 39.6
      name: pass@1
    - type: pass@1
      value: 42.7
      name: pass@1
    - type: pass@1
      value: 26.2
      name: pass@1
    - type: pass@1
      value: 47.0
      name: pass@1
    - type: pass@1
      value: 26.8
      name: pass@1
    - type: pass@1
      value: 36.6
      name: pass@1
    - type: pass@1
      value: 25.0
      name: pass@1
    - type: pass@1
      value: 20.1
      name: pass@1
    - type: pass@1
      value: 30.5
      name: pass@1
    - type: pass@1
      value: 40.9
      name: pass@1
    - type: pass@1
      value: 34.1
      name: pass@1
    - type: pass@1
      value: 39.0
      name: pass@1
    - type: pass@1
      value: 12.2
      name: pass@1
---

# cobrakenji/granite-34b-code-base-Q2_K-GGUF
This model was converted to GGUF format from [`ibm-granite/granite-34b-code-base`](https://huggingface.co/ibm-granite/granite-34b-code-base) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/ibm-granite/granite-34b-code-base) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo cobrakenji/granite-34b-code-base-Q2_K-GGUF --model granite-34b-code-base.Q2_K.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo cobrakenji/granite-34b-code-base-Q2_K-GGUF --model granite-34b-code-base.Q2_K.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m granite-34b-code-base.Q2_K.gguf -n 128
```